摘要
目前,个性化服务随着互联网的发展已经成为现代远程教育中的一个重要部分,能够为网络上不同层次的用户提供个性化需求是它的最大优点。文章提出了一种基于遗传算法的个性化学习系统,充分利用了遗传算法应用简单、全局搜索能力强等特点,帮助提高学习效率。学习系统模型会随时收集学习过程中的个性化动态数据,实现学习内容的个性化进化。
With the rapid development of internet technology, personalized service has become an very important part of modern distance education. The greatest advantage is the ability in network platform to meet the individual needs of users in different levels. This article combines the user personalized characteristic and demand with Genetic Algorithm, presenting a personalized learning system evolutionary mode by using GA's merits, such as high searching efficiency, powerful self-adapting and global optimization performance, expecting to improve students' learning efficiency. The evolutionary mode is used to collect he learners' changing learning states and the knowledge level during the whole learning process to update learning content.
出处
《信息通信》
2016年第10期21-23,共3页
Information & Communications
关键词
遗传算法
个性化学习
学习系统
Genetic Algorithm
Personalized Learning
Learning System